Technical Program Manager Inference

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

Series F+Recently funded0 current maintainers0 active leads
San Francisco, United States
About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own end-to-end programs that scale Claude’s serving fleet across accelerator and cloud platforms. You will bring capacity online, manage supply and utilization trade-offs, lead reliability work and migrations, and coordinate production, research, safeguards, and partner roadmaps. You will improve development velocity, track production performance impact, and lead inference readiness for model launches.

Requirements

  • 7+ years as a Technical Program Manager or equivalent engineering or SRE lead
  • Experience owning large multi-team infrastructure programs in production distributed systems, ML infrastructure, or cloud platforms
  • Technical fluency in serving infrastructure, routing, load balancing, autoscaling, capacity planning, orchestration, deployment, and observability
  • Understanding of LLM inference hardware use or ability to learn unfamiliar technical domains quickly
  • Experience building and retiring program mechanisms in ambiguous environments
  • Ability to drive cross-organizational outcomes
  • Strong written communication

Responsibilities

  • Own programs that scale the serving fleet across accelerator and cloud platforms
  • Drive new capacity online across compute, infrastructure, security, networking, and inference teams
  • Build visibility into supply, demand, and utilization and drive cost, latency, and reliability trade-offs
  • Lead reliability programs and large migrations
  • Improve inference engineering productivity, testing, and release workflows
  • Coordinate production, research, and safeguards roadmaps
  • Track performance and efficiency work to measured production impact
  • Own inference readiness for model launches

Benefits

  • Visa sponsorship support
  • Optional equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours